Many optimisation problems in Chemical and Process Engineering are nonconvex resulting in multiple local solutions. A modified interval algorithm for obtaining global minimisers is presented. The modifications accelerate the convergence of the interval algorithm and identify minimisers lying on constraints to provide a single rigorous globally optimal point to a general optimisation problem. The results of application to test problems indicate that a substantial performance increase is obtained when solving multiextremal problems.